Machine Learning Semi-Supervised Algorithms for Gene Selection: A Review

DQ Zeebaree, DA Hasan… - 2021 IEEE 11th …, 2021 - ieeexplore.ieee.org
Machine learning and data mining have established several effective applications in gene
selection analysis. This paper review semi-supervised learning algorithms and gene …

Predictive models for dengue outbreak using multiple rulebase classifiers

AA Bakar, Z Kefli, S Abdullah… - Proceedings of the 2011 …, 2011 - ieeexplore.ieee.org
The paper aims to develop the predictive models for dengue outbreak detection using
Multiple Rule Based Classifiers. The rule based classifiers used are the Decision Tree …

Optimization of pid controller gain using evolutionary algorithm and swarm intelligence

DR Maddi, A Sheta, D Davineni… - 2019 10th International …, 2019 - ieeexplore.ieee.org
Design of the Proportional-Integral-Derivative (PID) controller for an industrial process
represents a challenge due to process complexity and non-linearity. Traditional methods …

Towards operations excellence: optimising staff scheduling for new emergency department

A Arisha, W Abo Hamad - 2013 - arrow.tudublin.ie
This paper presents a case study of an Emergency Department of a public hospital in
Dublin, and uses an integrated approach to determine optimal staffing levels to meet the …

[PDF][PDF] COGNITIVE DEVELOPMENT OF EVOLUTIONARY ALGORITHMS IN GENE PATTERN MINING

Y Helan Cynthiya, M Anusha, S JGR - 2015 - academia.edu
Pattern mining is one of the predominant areas of data mining where gene patterns can be
extracted using different data mining techniques. The three main aspects through which …

[PDF][PDF] Spam Detection with Genetic Optimized Artificial Immune System

A Mehrsina - 2013 - eprints.utm.my
Spam has become one of the most serious universal problems, which causes problems for
almost all computer users. These problems such as lost productivity, wasting user's time and …

[引用][C] A Novel Cancer Gene Search Model and Classification Using GPSO-BPNN

F Leenavinmalar, A Kumarkombaiya